Fixes

app.py

@@ -140,11 +140,10 @@ with gr.Blocks(title="Transcription & Diarization") as app:
 
         with gr.Column():
             with gr.Group():
-
-                output_vtt = gr.Textbox(
+                output_vtt = gr.Code(
                     label="Transcription",
-                    lines=20,
-                    placeholder="Your transcription will appear here...",
+                    max_lines=40,
+                    wrap_lines=True,
                 )
 
                 validation_status = gr.Markdown("⚪ No content", container=True)
@@ -243,7 +242,7 @@ with gr.Blocks(title="Transcription & Diarization") as app:
 
     # Real-time VTT validation and button state management
     # We need to update validation whenever VTT content OR filename changes
-    output_vtt.change(
+    output_vtt.input(
         fn=update_validation,
         inputs=[output_vtt, audio_filename_state],
         outputs=[validation_status, download_btn],

poetry.lock

@@ -860,14 +860,14 @@ files = [
 
 [[package]]
 name = "fastapi"
-version = "0.121.3"
+version = "0.122.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "fastapi-0.121.3-py3-none-any.whl", hash = "sha256:0c78fc87587fcd910ca1bbf5bc8ba37b80e119b388a7206b39f0ecc95ebf53e9"},
-    {file = "fastapi-0.121.3.tar.gz", hash = "sha256:0055bc24fe53e56a40e9e0ad1ae2baa81622c406e548e501e717634e2dfbc40b"},
+    {file = "fastapi-0.122.0-py3-none-any.whl", hash = "sha256:a456e8915dfc6c8914a50d9651133bd47ec96d331c5b44600baa635538a30d67"},
+    {file = "fastapi-0.122.0.tar.gz", hash = "sha256:cd9b5352031f93773228af8b4c443eedc2ac2aa74b27780387b853c3726fb94b"},
 ]
 
 [package.dependencies]
@@ -1192,14 +1192,14 @@ grpc = ["grpcio (>=1.44.0,<2.0.0)"]
 
 [[package]]
 name = "gradio"
-version = "6.0.0"
+version = "6.0.1"
 description = "Python library for easily interacting with trained machine learning models"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
-    {file = "gradio-6.0.0-py3-none-any.whl", hash = "sha256:9790b871f827845378503fcf7b3bf9c9db03ba2a590a295516da4e6a63ea4a73"},
-    {file = "gradio-6.0.0.tar.gz", hash = "sha256:1f2217a7939dc1d8863431edc0026e0e07a54ead65c0402b3f71bba33f0d9515"},
+    {file = "gradio-6.0.1-py3-none-any.whl", hash = "sha256:0f98dc8b414a3f3773cbf3caf5a354507c8ae309ed8266e2f30ca9fa53f379b8"},
+    {file = "gradio-6.0.1.tar.gz", hash = "sha256:5d02e6ac34c67aea26b938b8628c8f9f504871392e71f2db559ab8d6799bdf69"},
 ]
 
 [package.dependencies]
@@ -1209,7 +1209,7 @@ audioop-lts = {version = "<1.0", markers = "python_version >= \"3.13\""}
 brotli = ">=1.1.0"
 fastapi = ">=0.115.2,<1.0"
 ffmpy = "*"
-gradio-client = "2.0.0-dev.3"
+gradio-client = "2.0.0"
 groovy = ">=0.1,<1.0"
 httpx = ">=0.24.1,<1.0"
 huggingface-hub = ">=0.33.5,<2.0"
@@ -1219,7 +1219,7 @@ numpy = ">=1.0,<3.0"
 orjson = ">=3.0,<4.0"
 packaging = "*"
 pandas = ">=1.0,<3.0"
-pillow = ">=8.0,<12.0"
+pillow = ">=8.0,<13.0"
 pydantic = ">=2.11.10,<=2.12.4"
 pydub = "*"
 python-multipart = ">=0.0.18"
@@ -1238,14 +1238,14 @@ oauth = ["authlib", "itsdangerous"]
 
 [[package]]
 name = "gradio-client"
-version = "2.0.0.dev3"
+version = "2.0.0"
 description = "Python library for easily interacting with trained machine learning models"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
-    {file = "gradio_client-2.0.0.dev3-py3-none-any.whl", hash = "sha256:5d0055e831908e60323016b299bc8d4cd8dd0a75c99833e98301d1c171c00260"},
-    {file = "gradio_client-2.0.0.dev3.tar.gz", hash = "sha256:452efe90b4e245477c94bb09e5777f1712a406794a5cfbfb9b392e451bb337ad"},
+    {file = "gradio_client-2.0.0-py3-none-any.whl", hash = "sha256:77bedf20edcc232d8e7986c1a22165b2bbca1c7c7df10ba808a093d5180dae18"},
+    {file = "gradio_client-2.0.0.tar.gz", hash = "sha256:56b462183cb8741bd3e69b21db7d3b62c5abb03c2c2bb925223f1eb18f950e89"},
 ]
 
 [package.dependencies]
@@ -2334,22 +2334,24 @@ files = [
 
 [[package]]
 name = "networkx"
-version = "3.5"
+version = "3.6"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.11"
 groups = ["main"]
 files = [
-    {file = "networkx-3.5-py3-none-any.whl", hash = "sha256:0030d386a9a06dee3565298b4a734b68589749a544acbb6c412dc9e2489ec6ec"},
-    {file = "networkx-3.5.tar.gz", hash = "sha256:d4c6f9cf81f52d69230866796b82afbccdec3db7ae4fbd1b65ea750feed50037"},
+    {file = "networkx-3.6-py3-none-any.whl", hash = "sha256:cdb395b105806062473d3be36458d8f1459a4e4b98e236a66c3a48996e07684f"},
+    {file = "networkx-3.6.tar.gz", hash = "sha256:285276002ad1f7f7da0f7b42f004bcba70d381e936559166363707fdad3d72ad"},
 ]
 
 [package.extras]
+benchmarking = ["asv", "virtualenv"]
 default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"]
 developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"]
 doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=10)", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8.0)", "sphinx-gallery (>=0.18)", "texext (>=0.6.7)"]
-example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy (>=0.7.2)", "osmnx (>=2.0.0)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
+example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "iplotx (>=0.9.0)", "momepy (>=0.7.2)", "osmnx (>=2.0.0)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
 extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
+release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0.40)"]
 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
 test-extras = ["pytest-mpl", "pytest-randomly"]
 
@@ -3051,127 +3053,111 @@ xml = ["lxml (>=4.9.2)"]
 
 [[package]]
 name = "pillow"
-version = "11.3.0"
-description = "Python Imaging Library (Fork)"
+version = "12.0.0"
+description = "Python Imaging Library (fork)"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main"]
 files = [
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 ]
 
 [package.extras]
 docs = ["furo", "olefile", "sphinx (>=8.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
 fpx = ["olefile"]
 mic = ["olefile"]
-test-arrow = ["pyarrow"]
-tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "trove-classifiers (>=2024.10.12)"]
-typing = ["typing-extensions ; python_version < \"3.10\""]
+test-arrow = ["arro3-compute", "arro3-core", "nanoarrow", "pyarrow"]
+tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma (>=5)", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "trove-classifiers (>=2024.10.12)"]
 xmp = ["defusedxml"]
 
 [[package]]

src/whisper.py

@@ -6,6 +6,7 @@ from openai.types.audio import TranscriptionVerbose
 from pyannote.pipeline import Pipeline
 from pydantic import BaseModel
 from pydub import AudioSegment
+from openai import BadRequestError
 
 
 class TranscriptSegment(BaseModel):
@@ -25,7 +26,7 @@ def get_transcripts(
     whisper_prompt: str,
     whisper_language: str | None,
     tmp_dir: Path,
-    progress_callback: Callable[[int, int], None] | None = None
+    progress_callback: Callable[[int, int], None] | None = None,
 ) -> List[TranscriptSegment]:
     client = OpenAI(api_key=openai_api_key)
 
@@ -35,7 +36,9 @@ def get_transcripts(
     total_segments = sum(1 for _ in diarization.speaker_diarization.itertracks())
     segment_index = 0
 
-    for turn, i, speaker in diarization.speaker_diarization.itertracks(yield_label=True):
+    for turn, i, speaker in diarization.speaker_diarization.itertracks(
+        yield_label=True
+    ):
         segment_index += 1
 
         if progress_callback:
@@ -63,7 +66,12 @@ def get_transcripts(
         if whisper_language:
             params["language"] = whisper_language
 
-        transcript = client.audio.transcriptions.create(**params)
+        try:
+            transcript = client.audio.transcriptions.create(**params)
+        except BadRequestError as e:
+            if "too short" in e.message.lower():
+                continue
+            raise
 
         transcripts.append(
             TranscriptSegment(